Suggesting a message to user to post on a social network based on prior posts directed to same topic in a different tense

ABSTRACT

A method, system and computer program product for improving the quality of the posts in a social network. A topic of a post to a social network environment is identified using natural language processing. The tense of the post directed to the identified topic is detected using natural language processing. The post is transformed to a suggested post of a second tense directed to the same topic to the user using natural language processing. A suggested message to be posted by the user to the social network in a third tense (e.g., past tense) based on the posts directed to the identified topic in the first and second tenses (e.g., future and present tenses) is generated using natural language processing thereby forming a past/present/future pairing of posts. By forming a past/present/future pairing of posts, a more complete and understandable view of the user&#39;s personal history may be obtained.

TECHNICAL FIELD

The present invention relates generally to social network services, andmore particularly to improving the quality of the posts (e.g., updateson a social network) by suggesting a message to a user to post on asocial network based on prior posts directed to the same topic in adifferent tense.

BACKGROUND

A social network service is an online service, platform or site thatfocuses on building social networks or social relations among people(e.g., those who share interests and/or activities). A social networkservice essentially consists of a representation of each user (often aprofile), his/her social links, and a variety of additional services.Most social network services are web-based and provide means for usersto interact over the Internet, such as by e-mail and instant messaging.Social networking sites allow users to share ideas, activities, events,and interests within their individual networks.

Social networking sites (e.g., Facebook®) present to a particular userthe posts and stories by other users in a social networking feed(referred to as a “news feed”). When a user posts a message (e.g.,update) on a social network site, it is a snapshot in time anddisassociated with the other posts made by the user. For example, theuser may post a message, such as “Going to Franco's Restaurant,”followed by the posts of “These shoes are terrible” and “I sold a suiteof software.” As a result, these posts provide the user's followers(e.g., friends in the user's social network) a disjointed personalhistory of the user thereby providing an incomplete view of the user'spersonal history.

SUMMARY

In one embodiment of the present invention, a method for improving thequality of posts in a social network comprises monitoring posts postedin a social network environment. The method further comprisesidentifying a topic of a first post from the monitored posts. The methodadditionally comprises detecting a first tense of the first postdirected to the topic. Furthermore, the method comprises extractingtime-related information from the first post. Additionally, the methodcomprises monitoring, by a processor, for time based and user triggeredevents, where the time based events are events that trigger recommendingor suggesting to a user a message to post to the social network based ona prior post at a particular day/time based on the extractedtime-related information, where the user triggered events are actionsperformed by the user that involve posting an update to a previous post.In addition, the method comprises transforming, by the processor, thefirst post of the first tense to a second post of a second tensedirected to the topic in response to detecting a time based or a usertriggered event. The method further comprises presenting the second postto the user as a recommended post to be posted to the social network.The method additionally comprises associating the first and second postsdirected to the topic in the first and second tenses, respectively.Furthermore, the method comprises generating, by the processor, a thirdpost directed to the topic in a third tense based on the first andsecond posts directed to the topic in the first and second tenses,respectively, thereby forming a past/present/future pairing of posts inresponse to detecting the time based or the user triggered event,wherein the third post is a restatement of the first and second posts.Additionally, the method comprises presenting the third post to the useras a recommended post to be posted to the social network.

Other forms of the embodiment of the method described above are in asystem and in a computer program product.

The foregoing has outlined rather generally the features and technicaladvantages of one or more embodiments of the present invention in orderthat the detailed description of the present invention that follows maybe better understood. Additional features and advantages of the presentinvention will be described hereinafter which may form the subject ofthe claims of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

A better understanding of the present invention can be obtained when thefollowing detailed description is considered in conjunction with thefollowing drawings, in which:

FIG. 1 illustrates a social network system configured in accordance withan embodiment of the present invention;

FIG. 2 illustrates a hardware configuration of a message recommenderconfigured in accordance with an embodiment of the present invention;and

FIGS. 3A-3B are a flowchart of a method for improving the quality of theposts in a social network by providing a more complete view of theuser's personal history by suggesting a message to a user to post on theuser's social network based on prior posts directed to the same topic ina different tense in accordance with an embodiment of the presentinvention.

DETAILED DESCRIPTION

The present invention comprises a method, system and computer programproduct for improving the quality of the posts in a social network. Inone embodiment of the present invention, the messages posted by a userin a social network environment (e.g., forum, social networkingcommunity, activity stream, wall, profile) are monitored. A topic of apost from the monitored posts is identified using natural languageprocessing. A tense (e.g., past tense, present tense, future tense) ofthe post directed to the identified topic is detected using naturallanguage processing. For example, the phrase “am going” may indicate afuture tense. The post is transformed to a suggested post of a secondtense directed to the same topic to the user using natural languageprocessing in response to a time based or a user triggered event. A“user triggered event” refers to actions performed by the user thatinvolve posting an update to a previous post that may necessitate amessage to be recommended to the user to be posted to the social networkto clarify the update. A “time based event” refers to events that causea message to be recommended to the user to post to a social networkbased on a prior post(s) at a particular day/time based on time-relatedinformation extracted from the prior post(s). For example, the post of“I am going to Jane's on Tuesday” (future tense) may be transformed to“I am at Jane's” (present tense) in response to the day being Tuesday(time based event). The suggested post is presented to the user as arecommended message to be posted to the social network. The postsdirected to the same topic in the two tenses (e.g., future and present)are then associated. For example, the posts of “I am going to Jane's onTuesday” and “I am at Jane's with Sue” may be associated with oneanother since they are both directed to the same topic (going to Jane'shouse) which may be determined based on identifying keywords (e.g.,“Jane's”) using natural language processing. A suggested message to beposted by the user to the social network in a third tense (e.g., pasttense) based on the posts directed to the identified topic in the firstand second tenses (e.g., future and present tenses) is generated usingnatural language processing thereby forming a past/present/futurepairing of posts. For example, the suggested message of “I was at Jane'swith Sue” (past tense) may be generated based on the posts of “I amgoing to Jane's on Tuesday” (future tense) and “I am at Jane's with Sue”(present tense). The suggested message is presented to the user as arecommended message to be posted to the social network. By forming apast/present/future pairing of posts, a more complete and understandableview of the user's personal history may be obtained.

In the following description, numerous specific details are set forth toprovide a thorough understanding of the present invention. However, itwill be apparent to those skilled in the art that the present inventionmay be practiced without such specific details. In other instances,well-known circuits have been shown in block diagram form in order notto obscure the present invention in unnecessary detail. For the mostpart, details considering timing considerations and the like have beenomitted inasmuch as such details are not necessary to obtain a completeunderstanding of the present invention and are within the skills ofpersons of ordinary skill in the relevant art.

Referring now to the Figures in detail, FIG. 1 illustrates a socialnetwork system 100 configured in accordance with an embodiment of thepresent invention. Referring to FIG. 1, social network system 100includes a community of users using client devices 101A-101C (identifiedas “Client Device A,” “Client Device B,” and “Client Device C,”respectively, in FIG. 1) to be involved in social network system 100.Client devices 101A-101C may collectively or individually be referred toas client devices 101 or client device 101, respectively. Client device101 may be a portable computing unit, a Personal Digital Assistant(PDA), a smartphone, a laptop computer, a mobile phone, a navigationdevice, a game console, a desktop computer system, a workstation, anInternet appliance and the like.

Client devices 101 may participate in a social network by communicating(by wire or wirelessly) over a network 102, which may be, for example, alocal area network, a wide area network, a wireless wide area network, acircuit-switched telephone network, a Global System for MobileCommunications (GSM) network, Wireless Application Protocol (WAP)network, a WiFi network, an IEEE 802.11 standards network, variouscombinations thereof, etc. Other networks, whose descriptions areomitted here for brevity, may also be used in conjunction with system100 of FIG. 1 without departing from the scope of the present invention.

System 100 further includes a social network server 103, which may be aweb server configured to offer a social networking and/or microbloggingservice, enabling users of client devices 101 to send and read otherusers' posts. “Posts,” as used herein, include any one or more of thefollowing: text (e.g., messages, comments, sub-comments and replies),audio, video images, etc. Social network server 103 is connected tonetwork 102 by wire or wirelessly. While FIG. 1 illustrates a singlesocial network server 103, it is noted for clarity that multiple serversmay be used to implement the social networking and/or microbloggingservice.

System 100 further includes a message recommender 104 connected tonetwork 102 by wire or wirelessly. Message recommender 104 is configuredto improve the quality of the posts in a social network, such as bysuggesting a message to a user (e.g., user of client 101A) to post onthe user's social network based on prior posts directed to the sametopic in a different tense as discussed in further detail below. Adescription of the hardware configuration of message recommender 104 isprovided below in connection with FIG. 2.

System 100 is not to be limited in scope to any one particular networkarchitecture. System 100 may include any number of clients 101, networks102, social network servers 103 and message recommenders 104.Furthermore, in one embodiment, message recommender 104 may be part ofclient device 101 or social network server 103.

Referring now to FIG. 2, FIG. 2 illustrates a hardware configuration ofmessage recommender 104 (FIG. 1) which is representative of a hardwareenvironment for practicing the present invention. Referring to FIG. 2,message recommender 104 has a processor 201 coupled to various othercomponents by system bus 202. An operating system 203 runs on processor201 and provides control and coordinates the functions of the variouscomponents of FIG. 2. An application 204 in accordance with theprinciples of the present invention runs in conjunction with operatingsystem 203 and provides calls to operating system 203 where the callsimplement the various functions or services to be performed byapplication 204. Application 204 may include, for example, a program forimproving the quality of the posts in a social network by suggesting amessage to a user (e.g., user of client 101A) to post on the user'ssocial network based on prior posts directed to the same topic in adifferent tense as discussed further below in association with FIGS.3A-3B.

Referring again to FIG. 2, read-only memory (“ROM”) 205 is coupled tosystem bus 202 and includes a basic input/output system (“BIOS”) thatcontrols certain basic functions of message recommender 104. Randomaccess memory (“RAM”) 206 and disk adapter 207 are also coupled tosystem bus 202. It should be noted that software components includingoperating system 203 and application 204 may be loaded into RAM 206,which may be message recommender's 104 main memory for execution. Diskadapter 207 may be an integrated drive electronics (“IDE”) adapter thatcommunicates with a disk unit 208, e.g., disk drive. It is noted thatthe program for improving the quality of the posts in a social networkby suggesting a message to a user (e.g., user of client 101A) to post onthe user's social network based on prior posts directed to the sametopic in a different tense, as discussed further below in associationwith FIGS. 3A-3B, may reside in disk unit 208 or in application 204.

Message recommender 104 may further include a communications adapter 209coupled to bus 202. Communications adapter 209 interconnects bus 202with an outside network (e.g., network 102 of FIG. 1) thereby allowingmessage recommender 104 to communicate with client devices 101 andsocial network server 103.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

As stated in the Background section, social networking sites (e.g.,Facebook®) present to a particular user the posts and stories by otherusers in a social networking feed (referred to as a “news feed”). When auser posts a message (e.g., update) on a social network site, it is asnapshot in time and disassociated with the other posts made by theuser. For example, the user may post a message, such as “Going toFranco's Restaurant,” followed by the posts of “These shoes areterrible” and “I sold a suite of software.” As a result, these postsprovide the user's followers (e.g., friends in the user's socialnetwork) a disjointed personal history of the user thereby providing anincomplete view of the user's personal history.

The principles of the present invention provide a means for improvingthe quality of the posts in a social network by providing a morecomplete view of the user's personal history by suggesting a message toa user to post on the user's social network based on prior postsdirected to the same topic in a different tense as discussed below inassociation with FIGS. 3A-3B.

FIGS. 3A-3B are a flowchart of a method for improving the quality of theposts in a social network by providing a more complete view of theuser's personal history by suggesting a message to a user (e.g., user ofclient device 101A) to post on the user's social network based on priorposts directed to the same topic in a different tense in accordance withan embodiment of the present invention.

Referring to FIG. 3A, in conjunction with FIGS. 1-2, in step 301,message recommender 104 monitors the messages (“posts”) posted by a user(e.g., user of client device 101A) in a social network environment(e.g., forum, social networking community, activity stream, wall,profile). In one embodiment, the posts may be monitored in real-time inthe social network environment. In another embodiment, the posts may bestored in a data structure (e.g., table, database) and later analyzed bymessage recommender 104 as discussed below.

In step 302, message recommender 104 identifies a topic of a post fromthe monitored posts. In one embodiment, message recommender 104identifies a topic from a post using natural language processing. A“topic” refers to a subject of a conversation or discussion in theposted message. For example, message recommender 104 may identify atopic in the posted message by focusing on keywords, such as “travel,”“sports,” and “cars,” when analyzing the message for the topic usingnatural language processing.

In step 303, message recommender 104 detects a tense (e.g., past tense,present tense, future tense) of the post directed to the identifiedtopic. In one embodiment, message recommender 104 determines the tenseof the post based on identifying keywords using natural languageprocessing, such as “am going” or “will go” for the future tense, “Igo,” for the present tense and “went to” or “was at” for the past tense.For example, suppose the user (e.g., user of client 101A) posts themessage “I am going to Jane's on Tuesday.” Such a post is directed tothe future tense based on using the language of “am going.” Furthermore,the topic of going to Jane's house may be deduced in step 302 based onthe phrase “going to Jane's.”

In step 304, message recommender 104 extracts any time-relatedinformation from the post and sets a reminder at a particular time forthe user (e.g., user of client device 101A) to post a subsequent messageupdating the post. For instance, referring to the above example, in thepost “I am going to Jane's on Tuesday,” the term “Tuesday” is detectedby message recommender 104 using natural language processing whichindicates a future day to go to Jane's house. Time-related information,such as the day of the week or a particular time may be detected bymessage recommender 104 by focusing on keywords, such as the day of theweek or a designated time using natural language processing. Suchinformation may be used by message recommender 104 to set a reminder forthe user to post a subsequent message updating the post. For example, areminder may be set by message recommender 104 for the user to post asubsequent message updating the post (“I am going to Jane's on Tuesday)on Tuesday.

In step 305, message recommender 104 monitors for time based and usertriggered events. “Time based events,” as used herein, refer to eventsthat cause message recommender 104 to recommend or suggest to the user amessage to post to a social network based on a prior post(s) at aparticular day/time based on the extracted time-related information instep 304. For instance, referring to the above example, messagerecommender 104 will recommend a message to be posted to the socialnetwork based on the post “I am going to Jane's on Tuesday” on Tuesdaysince that is the day that the user is supposed to be going to Jane'shouse.

“User triggered events,” as used herein, refer to actions performed bythe user that involve posting an update to a previous post that maynecessitate message recommender 104 to recommend or suggest to the user(e.g., user of client device 101A) a message to be posted to the socialnetwork to clarify the update. For example, if the user posts themessage “I am going to Jane's on Tuesday” and posts an update to thismessage by stating “I am at Jane's with Sue,” message recommender 104may first determine that such posts are associated with one anotherbased on the time of the posts (e.g., post of “went with Sue” was postedon Tuesday) as well as based on using similar keywords in the posts(e.g., Jane's) using natural language processing. As will be discussedin further detail below, the phrase “I am going to Jane's on Tuesday” isdirected to a future tense and the phrase “I am at Jane's with Sue” isdirected to a present tense. It may be desired to provide apast/present/future pair of posts. Hence, message recommender 104 mayrecommend the message “I was at Jane's with Sue” directed to the pasttense to the user to be posted to the social network thereby providing amore complete view of the user's personal history.

In step 306, message recommender 104 transforms the post in the tensedetected in step 303 to a suggested post of a second tense directed tothe same topic (topic identified in step 302) to the user (e.g., user ofclient device 101A) using natural language processing in response to atime based or a user triggered event. For example, the post of “I amgoing to Jane's on Tuesday” may be transformed to “I am at Jane's” inresponse to the day being Tuesday (time based event). Such a post may begenerated by message recommender 104 using natural language processingby using the same keywords in the first post but using a differenttense.

In step 307, message recommender 104 presents the suggested post to theuser (e.g., user of client device 101A) as a recommended message to beposted to the social network.

In step 308, a determination is made by message recommender 104 as towhether the user makes any modifications to the suggested message to beposted to the social network.

If the user makes any modifications to the suggested message to beposted to the social network, then, in step 309, message recommender 104posts the suggested message with the modifications provided by the user.For example, the user may modify the suggested message of “I am atJane's” to become “I am at Jane's with Sue.”

If, however, the user does not make any modifications to the suggestedmessage to be posted to the social network, then, in step 310, messagerecommender 104 posts the suggested message without any modifications.

Referring to FIG. 3B, in conjunction with FIGS. 1-2, upon posting thesuggested message with or without modifications in steps 309, 310, instep 311, message recommender 104 associates the posts directed to thesame topic in the two tenses (e.g., future and present) and sets areminder at a particular time for the user (e.g., user of client device101A) to post a subsequent message updating the posts. For example, theposts of “I am going to Jane's on Tuesday” and “I am at Jane's with Sue”may be associated with one another since they are both directed to thesame topic (going to Jane's house) which may be determined based onidentifying keywords (e.g., “Jane's”) using natural language processing.Message recommender 104 may set a reminder for the following day(Wednesday) to post a subsequent message updating these posts. In oneembodiment, posts may be associated based on a likelihood of beingassociated. Such a likelihood may be determined based on using similarkeywords which are identified using natural language processing.

In step 312, message recommender 104 continues to monitor for time basedand user triggered events as discussed above.

In step 313, message recommender 104 generates a suggested post to theuser (e.g., user of client device 101A) directed to the identified topic(topic identified in step 302) in a third tense (e.g., past tense) basedon posts directed to the identified topic in the first and second tenses(e.g., future and present tenses) using natural language processingthereby forming a past/present/future pairing of posts in response to atime based or a user triggered event. For example, message recommender104 may generate a suggested message of “I was at Jane's with Sue” (pasttense) based on the posts of “I am going to Jane's on Tuesday” (futuretense) and “I am at Jane's with Sue” (present tense). Such a post may begenerated by message recommender 104 using natural language processingby using the same keywords in the posts directed to the two tenses butwith a different tense. As a result, such a suggested post is arestatement of the posts in the other two tenses.

By forming a past/present/future pairing of posts, a more complete viewand understandable view of the user's personal history may be obtained.

In one embodiment, the present invention may implement a rewards systemfor encouraging users to post healthy lifecycles of past/present/futurepairing of posts.

In step 314, message recommender 104 presents the suggested post to theuser (e.g., user of client device 101A) as a recommended message to beposted to the social network.

In step 315, a determination is made by message recommender 104 as towhether the user makes any modifications to the suggested message to beposted to the social network.

If the user makes any modifications to the suggested message to beposted to the social network, then, in step 316, message recommender 104posts the suggested message with the modifications provided by the user.For example, the user may modify the suggested message of “I was atJane's with Sue” to become “I was at Jane's with Sue, and it was ablast.”

If, however, the user does not make any modifications to the suggestedmessage to be posted to the social network, then, in step 317, messagerecommender 104 posts the suggested message without any modifications.

In one embodiment, metadata concerning the linkages between thepast/present/future pairing of posts may be obtained and utilized inanalytic systems to determine or mine user patterns (e.g., the user'spatterns in the types of messages posted, when the messages are posted,to whom the messages are posted, etc.) to determine the user's behavior.

The descriptions of the various embodiments of the present inventionhave been presented for purposes of illustration, but are not intendedto be exhaustive or limited to the embodiments disclosed. Manymodifications and variations will be apparent to those of ordinary skillin the art without departing from the scope and spirit of the describedembodiments. The terminology used herein was chosen to best explain theprinciples of the embodiments, the practical application or technicalimprovement over technologies found in the marketplace, or to enableothers of ordinary skill in the art to understand the embodimentsdisclosed herein.

The invention claimed is:
 1. A method for improving the quality of postsin a social network, the method comprising: monitoring posts posted in asocial network environment; identifying a topic of a first post fromsaid monitored posts; detecting a first tense of said first postdirected to said topic; extracting time-related information from saidfirst post; monitoring, by a processor, for time based and usertriggered events, wherein said time based events are events that triggerrecommending or suggesting to a user a message to post to said socialnetwork based on a prior post at a particular day/time based on saidextracted time-related information, wherein said user triggered eventsare actions performed by said user that involve posting an update to aprevious post; transforming, by said processor, said first post of saidfirst tense to a second post of a second tense directed to said topic inresponse to detecting a time based or a user triggered event; presentingsaid second post to said user as a recommended post to be posted to saidsocial network; associating said first and second posts directed to saidtopic in said first and second tenses, respectively; generating, by saidprocessor, a third post directed to said topic in a third tense based onsaid first and second posts directed to said topic in said first andsecond tenses, respectively, thereby forming a past/present/futurepairing of posts in response to detecting said time based or said usertriggered event, wherein said third post is a restatement of said firstand second posts; and presenting said third post to said user as arecommended post to be posted to said social network.
 2. The method asrecited in claim 1 further comprising: setting a reminder at aparticular time for said user to post a subsequent message updating saidfirst post.
 3. The method as recited in claim 1 further comprising:obtaining metadata concerning linkages between said past/present/futurepairing of posts to be utilized in analytical systems to determine userpatterns to determine behavior of said user.
 4. The method as recited inclaim 1 further comprising: setting a reminder at a particular time forsaid user to post a subsequent message updating said first and secondposts.
 5. The method as recited in claim 1 further comprising: rewardingsaid user via a rewards system in response to forming saidpast/present/future pairing of posts.
 6. The method as recited in claim1, wherein said topic is identified using natural language processing,wherein said first post of said first tense is transformed to saidsecond post of said second tense using said natural language processing,wherein said third post of said third tense is generated using saidnatural language processing.
 7. The method as recited in claim 1 furthercomprising: receiving modifications to said presented second post and/orsaid presented third post from said user; and posting said second postand/or said third post with said received modifications to said socialnetwork.
 8. The method as recited in claim 1 further comprising: postingsaid second post and/or said third post to said social network withoutmodifications to said second post and/or said third post, respectively.9. A computer program product for improving the quality of posts in asocial network, the computer program product comprising a computerreadable storage medium having program code embodied therewith, theprogram code comprising the programming instructions for: monitoringposts posted in a social network environment; identifying a topic of afirst post from said monitored posts; detecting a first tense of saidfirst post directed to said topic; extracting time-related informationfrom said first post; monitoring for time based and user triggeredevents, wherein said time based events are events that triggerrecommending or suggesting to a user a message to post to said socialnetwork based on a prior post at a particular day/time based on saidextracted time-related information, wherein said user triggered eventsare actions performed by said user that involve posting an update to aprevious post; transforming said first post of said first tense to asecond post of a second tense directed to said topic in response todetecting a time based or a user triggered event; presenting said secondpost to said user as a recommended post to be posted to said socialnetwork; associating said first and second posts directed to said topicin said first and second tenses, respectively; generating a third postdirected to said topic in a third tense based on said first and secondposts directed to said topic in said first and second tenses,respectively, thereby forming a past/present/future pairing of posts inresponse to detecting said time based or said user triggered event,wherein said third post is a restatement of said first and second posts;and presenting said third post to said user as a recommended post to beposted to said social network.
 10. The computer program product asrecited in claim 9, wherein the program code further comprises theprogramming instructions for: setting a reminder at a particular timefor said user to post a subsequent message updating said first post. 11.The computer program product as recited in claim 9, wherein the programcode further comprises the programming instructions for: obtainingmetadata concerning linkages between said past/present/future pairing ofposts to be utilized in analytical systems to determine user patterns todetermine behavior of said user.
 12. The computer program product asrecited in claim 9, wherein the program code further comprises theprogramming instructions for: setting a reminder at a particular timefor said user to post a subsequent message updating said first andsecond posts.
 13. The computer program product as recited in claim 9,wherein the program code further comprises the programming instructionsfor: rewarding said user via a rewards system in response to formingsaid past/present/future pairing of posts.
 14. The computer programproduct as recited in claim 9, wherein said topic is identified usingnatural language processing, wherein said first post of said first tenseis transformed to said second post of said second tense using saidnatural language processing, wherein said third post of said third tenseis generated using said natural language processing.
 15. The computerprogram product as recited in claim 9, wherein the program code furthercomprises the programming instructions for: receiving modifications tosaid presented second post and/or said presented third post from saiduser; and posting said second post and/or said third post with saidreceived modifications to said social network.
 16. The computer programproduct as recited in claim 9, wherein the program code furthercomprises the programming instructions for: posting said second postand/or said third post to said social network without modifications tosaid second post and/or said third post, respectively.
 17. A system,comprising: a memory unit for storing a computer program for improvingthe quality of posts in a social network; and a processor coupled to thememory unit, wherein the processor is configured to execute the programinstructions of the computer program comprising: monitoring posts postedin a social network environment; identifying a topic of a first postfrom said monitored posts; detecting a first tense of said first postdirected to said topic; extracting time-related information from saidfirst post; monitoring for time based and user triggered events, whereinsaid time based events are events that trigger recommending orsuggesting to a user a message to post to said social network based on aprior post at a particular day/time based on said extracted time-relatedinformation, wherein said user triggered events are actions performed bysaid user that involve posting an update to a previous post;transforming said first post of said first tense to a second post of asecond tense directed to said topic in response to detecting a timebased or a user triggered event; presenting said second post to saiduser as a recommended post to be posted to said social network;associating said first and second posts directed to said topic in saidfirst and second tenses, respectively; generating a third post directedto said topic in a third tense based on said first and second postsdirected to said topic in said first and second tenses, respectively,thereby forming a past/present/future pairing of posts in response todetecting said time based or said user triggered event, wherein saidthird post is a restatement of said first and second posts; andpresenting said third post to said user as a recommended post to beposted to said social network.
 18. The system as recited in claim 17,wherein the program instructions of the computer program furthercomprise: obtaining metadata concerning linkages between saidpast/present/future pairing of posts to be utilized in analyticalsystems to determine user patterns to determine behavior of said user.19. The system as recited in claim 17, wherein the program instructionsof the computer program further comprise: rewarding said user via arewards system in response to forming said past/present/future pairingof posts.
 20. The system as recited in claim 17, wherein said topic isidentified using natural language processing, wherein said first post ofsaid first tense is transformed to said second post of said second tenseusing said natural language processing, wherein said third post of saidthird tense is generated using said natural language processing.